def plot_cavg(files,
key='mart.cavg',
labels=None,
styles=None,
ax=None,
plotcarbides=False,
**kwargs):
if ax is None:
fig, ax = plt.subplots()
if labels:
cylbls = cycle(labels)
if styles:
cysty = cycle(styles)
x = kwargs.pop('x', None)
w = kwargs.pop('w', None)
y = kwargs.pop('y', None)
for fname in files:
df = pd.read_csv(fname, sep=' ')
args = []
if labels:
kwargs.update(dict(label=next(cylbls)))
if styles:
args.append(next(cysty))
ax.plot(df.t, x2wp(df[key], x=x, w=w, y=y), *args, **kwargs)
ax.set_xlim(-.5, 100.5)
yrng = np.array([-1e-4, 4.5e-2])
ax.set_ylim(x2wp(yrng, x=x, w=w, y=y))
ax.set_xlabel('Partitioning time (s)')
ax.set_ylabel(r"Carbon in $\alpha' + \theta$ (wt.%)")
if plotcarbides:
ax2 = ax.twinx()
ax2.set_ylim(100 * x2vcem(yrng / .25))
ax2.set_ylabel("Carbides fraction (vol.%)")
ax.legend(loc='lower right', fancybox=False)
return ax, ax2
else:
return ax
# Site fraction of substitutional elements in cast iron's austenite
T_C = 375
y = dict(Cu=3.55354266E-3, Mn=2.05516602E-3,
Si=5.02504411E-2, Fe=9.4414085022e-1)
cint = pd.read_csv('../C_extremities/coupled_FoFo_375_CCE.txt', sep=' ')
pos = pd.read_csv('../pos_extremities/coupled_FoFo_375_CCE.txt', sep=' ')
# For calculating WBs
aust = FCC(T_C=T_C, tdata='../thermo/FoFo/TCFE8/375-fcc.txt')
ferr = BCC(T_C=T_C, tdata='../thermo/FoFo/TCFE8/375-bcc.txt', E=WBs(T_C))
intf = Interface(domain1=aust, domain2=ferr, type_int='mobile.eq')
# WBs composition
_, cwbs = intf.comp()
cwbs = x2wp(cwbs, y=y)
# Driving force
DF = -intf.chem_driving_force(ci_bcc=cint['fer1.ci0'], ci_fcc=cint['aus1.cin'])
posf = pos['aus1.sn'].values[-1]
tf = pos['t'].values[-1]
# Ploting interface position and composition
# Setting pre-plot parameters
fig1, ax1 = plt.subplots(figsize=(3.5, 3.5))
# composition
ax1.plot(cint['t'], x2wp(cint['aus1.cin'], y=y),
'k-', label=r'$c^\gamma_{int_1}$')
def x2wp(self, x):
return x2wp(x, y=self.yalloy)
rcParams.update({
'font.family': 'sans-serif',
'font.sans-serif': 'Arial',
'font.size': 13
})
files = ['../C_avg/coupled_FoFo_375_mu20e3.txt']
labels = [r'$\mu_C =$' + u' 20,0 kJ/mol']
fig, ax = plt.subplots(figsize=(5, 4))
y = dict(Cu=3.55354266E-3,
Mn=2.05516602E-3,
Si=5.02504411E-2,
Fe=9.4414085022e-1)
c0 = x2wp(3.34414e-02, y=y)
WBs = 1.5902
ax = plot_cavg(files, labels, ax=ax, lw=1, y=y, plotcarbides=False)
ax.axhline(c0, ls=':', color='k', lw=1)
ax.axhline(WBs, ls=':', color='k', lw=1)
ax.set_xscale('log')
ax.set_xlim(1e-2, 1000)
ax.set_ylim(0, 1.4)
ax.set_xlabel('Tempo (s)')
ax.set_ylabel(u'Carbono médio em ' + r"$\alpha' + \theta$ (%)")
ax.legend(loc='best', fancybox=False, ncol=2)
fout = '/home/arthur/tese/img/cpartition/coupled_cavg_mu20e3.svg'
'mathtext.fontset': 'stix'
})
fig, axes = plt.subplots(2, 2, figsize=(12, 8))
ax0, ax1, ax2, ax3 = axes.ravel()
plt.subplots_adjust(wspace=.2, hspace=.35)
###########################################################
# y, c0, and WBs for the high manganese, high carbon region (cell boundary)
y = dict(Si=0.034356055114394574,
Mn=0.003731497480722358,
Cu=0.0027562013887263755)
y['Fe'] = 1. - sum(y.values())
c0 = x2wp(3.8553489675740495e-2, y=y)
WBs = 1.5424
###########################################################
labels = [('aus1', r'$\gamma$', 1), ('aus2', r'$\gamma$', 1),
('fer1', r'$\alpha_{b}$', 1), ('fer2', r'$\alpha_{b}$', 1),
('fer3', r'$\alpha_{b}$', 1)]
p0 = CProfiles('bainite_FoFo_375', '../C_profiles')
ax0.axhline(c0, ls=':', color='k', lw=1)
ax0.axhline(WBs, ls=':', color='k', lw=1)
ax0.text(-1.1, c0, r'c$_0$', ha='left', va='bottom', size=10)
ax0.text(-1.15, WBs, 'WBs', ha='left', va='bottom', size=10)
p0.plot_cprofiles(tlist=[1, 10, 100, 300],
from matplotlib import rcParams
rcParams.update({
'font.family': 'sans-serif',
'font.sans-serif': 'Arial',
'font.size': 13
})
fname = '../C_avg/mart_FoFo_CCE.txt'
df = pd.read_csv(fname, sep=' ')
y = dict(Cu=3.55354266E-3,
Mn=2.05516602E-3,
Si=5.02504411E-2,
Fe=9.4414085022e-1)
c0 = x2wp(3.34414e-02, y=y)
fig, ax = plt.subplots(figsize=(6, 4))
ax.plot(df['t'], x2wp(df['aust.cavg'], y=y), 'k--', label=r"$\gamma$")
ax.plot(df['t'], x2wp(df['mart.cavg'], y=y), 'k-', label=r"$\alpha'$")
ax.axhline(c0, ls=':', color='k', lw=1)
ax.set_xscale('log')
ax.set_xlim(1e-4, 1000)
# ax.set_ylim(0, 1.4)
ax.set_xlabel('Tempo (s)')
ax.set_ylabel(u'Teor de carbono médio na fase (% massa)')
ax.legend(loc='best', fancybox=False)
ax.annotate(s=r'$c_0$', xy=(.8e3, c0 * 1.05), ha='right')
fout = '/home/arthur/tese/img/cpartition/CCE_cavg.svg'
y = dict(Cu=3.55354266E-3,
Mn=2.05516602E-3,
Si=5.02504411E-2,
Fe=9.4414085022e-1)
parser = argparse.ArgumentParser()
parser.add_argument('basenames', nargs='+')
parser.add_argument('-S', '--save', action='store_true', help='Save plot')
args = parser.parse_args()
for basename in args.basenames:
cprofiles = CProfiles(basename)
print(cprofiles.basename)
ax = cprofiles.plot_colormap(mirror=True,
func=lambda x: x2wp(x, y=y),
vmin=0,
vmax=1.8)
ax.set_xlabel(u'Position (μm)')
ax.set_ylabel('Time (s)')
ax.set_title(cprofiles.basename)
if args.save:
plt.savefig(os.path.join('img', cprofiles.basename + '.png'),
dpi=150)
plt.close()
plt.show()
tdata_fcc = 'thermo/FoFo/TCFE8/{:.0f}-fcc.txt'.format(T)
tdata_bcc = 'thermo/FoFo/TCFE8/{:.0f}-bcc.txt'.format(T)
# tdata_fcc = 'thermo/FoFo/TCFE0/375-FCC.TXT'
# tdata_bcc = 'thermo/FoFo/TCFE0/375-BCC.TXT'
try:
aust = FCC(T_C=T, tdata=tdata_fcc)
ferr = BCC(T_C=T, tdata=tdata_bcc, E=WBs(T))
except:
print('Failed to initialize ferr and/or aust')
continue
# We want to find the zero of this function, which
# is the difference between muZ(aust) and muZ(ferr)
# both expressed as functions of muC
# When g(muC) = 0, then muC and muZ are equal for
# ferr and aust
def g(muC):
return aust.muC2muZ(muC) - ferr.muC2muZ(muC)
# minimum and maximum values of mu_C
lo = max(min(aust.chempot['MU(C)']), min(ferr.chempot['MU(C)']))
hi = min(max(aust.chempot['MU(C)']), max(ferr.chempot['MU(C)']))
muC = bisect(g, lo, hi, xtol=1e-3)
cferr = ferr.mu2x['C'](muC)
caust = aust.mu2x['C'](muC)
print('{:g} oC, muC={:g} J/mol, caust={:g} wt.%'.format(
T, muC, x2wp(caust, y=y)))
##########################################################
# c0 = x2wp(3.34414e-02, y=y)
# WBs = 1.5902
for fname_position, fname_cavg, label in zip(files_position, files_cavg,
labels):
average_carbon = calculate_average_carbon(fname_position, fname_cavg)
if 'bainite' not in fname_position:
y = dict(Cu=3.55354266E-3,
Mn=2.05516602E-3,
Si=5.02504411E-2,
Fe=9.4414085022e-1)
ax1.plot(average_carbon.t,
x2wp(average_carbon.mart, y=y),
label=label,
lw=1)
else:
y = dict(Si=0.034356055114394574,
Mn=0.003731497480722358,
Cu=0.0027562013887263755)
y['Fe'] = 1. - sum(y.values())
ax2.plot(average_carbon.t,
x2wp(average_carbon.aus, y=y),
label=label,
lw=1)
ax1.set_xlabel('Isothermal holding (partitioning) time (s)')
ax1.set_ylabel(r"$\overline{c^{\alpha' + \theta}}$ (wt.%)")
import argparse
colorcycle = cycle(
matplotlib.rcParams['axes.prop_cycle'].by_key()['color'])
y = dict(Cu=3.55354266E-3, Mn=2.05516602E-3,
Si=5.02504411E-2, Fe=9.4414085022e-1)
# For calculating WBs
T_C = 375.
aust = FCC(T_C=T_C, tdata='thermo/FoFo/TCFE8/375-fcc.txt')
ferr = BCC(T_C=T_C, tdata='thermo/FoFo/TCFE8/375-bcc.txt', E=WBs(T_C))
intf = Interface(domain1=aust, domain2=ferr, type_int='mobile.eq')
# WBs composition
_, cwbs = intf.comp()
cwbs = x2wp(cwbs, y=y)
parser = argparse.ArgumentParser()
parser.add_argument('basenames', nargs='+')
parser.add_argument('-s', '--silent', action='store_false')
parser.add_argument('-S', '--save', action='store_true')
parser.add_argument('-d', '--dir',
default='/home/arthur/tese/img/cpartition/cprofiles')
parser.add_argument('-e', '--ext', default='.svg')
parser.add_argument('-a', '--append', default='')
parser.add_argument('-f', '--figsize', type=float, nargs=2, default=[6, 4])
parser.add_argument('-m', '--mirror', action='store_true')
parser.add_argument('-x', '--xlim', type=float,
nargs=2, default=[None, None])
